WEKA
The WEKA Data Platform Administrator manages and optimizes the WEKA data infrastructure for AI hyperscaler customers, ensuring seamless operation of GPU-intensive workloads like training and inference. This role involves day-to-day deployment management, performance tuning, and direct collaboration with customer teams to resolve issues and standardize client configurations. The position requires strong expertise in Linux administration, high-speed networking, Kubernetes, and automation to maintain a healthy, scalable data platform.
Headquarters
Campbell, California, United States
Company Size
201-500 employees
Founded
2013
WEKA is an accelerated infrastructure company that provides NeuralMesh, an AI Data Platform (AIDP) purpose-built for agentic AI workloads. Its ecosystem includes NeuralMesh Axon (GPU-native AI storage), WEKApod (turnkey AI storage appliances), and Augmented Memory Grid (which extends GPU memory up to 1000x), enabling enterprises to eliminate latency, maximize GPU utilization, and reduce AI infrastructure costs. WEKA serves AI innovators, research teams, and enterprises across industries such as healthcare, financial services, energy, and media, supporting use cases from AI model training and inference to generative AI and high-performance computing.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for WEKA .
WEKA didn’t post a salary, so this is our estimate from similar listings.
5% above the average for this role
Maximizing KV-Cache Hit Rates: WEKA's Open-Source Context Platform Engineering
Nov 25, 2025